Merge branch 'Reddine-master'
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b22e547e98
@ -18,6 +18,8 @@ For a few examples of such functions, check out the [objectives source](https://
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- __mean_squared_error__ / __mse__
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- __mean_absolute_error__ / __mae__
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- __mean_absolute_percentage_error__ / __mape__
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- __mean_squared_logarithmic_error__ / __msle__
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- __squared_hinge__
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- __hinge__
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- __binary_crossentropy__: Also known as logloss.
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@ -12,6 +12,9 @@ def mean_squared_error(y_true, y_pred):
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def mean_absolute_error(y_true, y_pred):
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return T.abs_(y_pred - y_true).mean(axis=-1)
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def mean_absolute_percentage_error(y_true, y_pred):
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return T.abs_((y_true - y_pred) / T.clip(T.abs_(y_true), epsilon, np.inf)).mean(axis=-1) * 100.
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def mean_squared_logarithmic_error(y_true, y_pred):
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return T.sqr(T.log(T.clip(y_pred, epsilon, np.inf) + 1.) - T.log(T.clip(y_true, epsilon, np.inf) + 1.)).mean(axis=-1)
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@ -38,6 +41,7 @@ def binary_crossentropy(y_true, y_pred):
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# aliases
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mse = MSE = mean_squared_error
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mae = MAE = mean_absolute_error
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mape = MAPE = mean_absolute_percentage_error
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msle = MSLE = mean_squared_logarithmic_error
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from .utils.generic_utils import get_from_module
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